Overview

Dataset statistics

Number of variables6
Number of observations1590
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.7 KiB
Average record size in memory48.1 B

Variable types

Categorical3
Text3

Dataset

Description대구광역시_어린이집현황_20131231
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15054164&dataSetDetailId=150541641d4e0d53db542&provdMethod=FILE

Alerts

시도 has constant value ""Constant

Reproduction

Analysis started2023-12-10 18:58:40.425030
Analysis finished2023-12-10 18:58:41.470532
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
대구광역시
1590 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시
2nd row대구광역시
3rd row대구광역시
4th row대구광역시
5th row대구광역시

Common Values

ValueCountFrequency (%)
대구광역시 1590
100.0%

Length

2023-12-11T03:58:41.562243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:41.713290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 1590
100.0%

시군구
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
달서구
427 
북구
360 
수성구
217 
동구
197 
서구
143 
Other values (3)
246 

Length

Max length3
Median length2
Mean length2.4937107
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row중구
3rd row중구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
달서구 427
26.9%
북구 360
22.6%
수성구 217
13.6%
동구 197
12.4%
서구 143
 
9.0%
달성군 141
 
8.9%
남구 66
 
4.2%
중구 39
 
2.5%

Length

2023-12-11T03:58:41.882214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:42.055129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달서구 427
26.9%
북구 360
22.6%
수성구 217
13.6%
동구 197
12.4%
서구 143
 
9.0%
달성군 141
 
8.9%
남구 66
 
4.2%
중구 39
 
2.5%

어린이집유형
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
민간
726 
가정
646 
사회복지법인
123 
국공립
 
39
법인 단체등
 
34
Other values (2)
 
22

Length

Max length6
Median length2
Mean length2.4257862
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간
2nd row직장
3rd row법인 단체등
4th row민간
5th row사회복지법인

Common Values

ValueCountFrequency (%)
민간 726
45.7%
가정 646
40.6%
사회복지법인 123
 
7.7%
국공립 39
 
2.5%
법인 단체등 34
 
2.1%
직장 17
 
1.1%
부모협동 5
 
0.3%

Length

2023-12-11T03:58:42.261326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:42.475233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 726
44.7%
가정 646
39.8%
사회복지법인 123
 
7.6%
국공립 39
 
2.4%
법인 34
 
2.1%
단체등 34
 
2.1%
직장 17
 
1.0%
부모협동 5
 
0.3%

어린이집명
Text

Distinct1208
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-11T03:58:42.823050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length7.2125786
Min length5

Characters and Unicode

Total characters11468
Distinct characters458
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique963 ?
Unique (%)60.6%

Sample

1st row비둘기어린이집
2nd row대구프뢰벨어린이집
3rd row남산교회어린이집
4th row대구삼성어린이집
5th row백합어린이집
ValueCountFrequency (%)
어린이집 40
 
2.4%
아이숲어린이집 7
 
0.4%
사랑어린이집 6
 
0.4%
꿈나무어린이집 6
 
0.4%
하늘꿈어린이집 6
 
0.4%
아이사랑어린이집 5
 
0.3%
사과나무어린이집 5
 
0.3%
예원어린이집 5
 
0.3%
행복한어린이집 5
 
0.3%
한사랑어린이집 4
 
0.2%
Other values (1205) 1553
94.6%
2023-12-11T03:58:43.379729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1750
15.3%
린 1612
 
14.1%
어 1596
 
13.9%
집 1587
 
13.8%
아 223
 
1.9%
리 125
 
1.1%
사 107
 
0.9%
나 97
 
0.8%
동 86
 
0.7%
하 82
 
0.7%
Other values (448) 4203
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11372
99.2%
Space Separator 52
 
0.5%
Uppercase Letter 16
 
0.1%
Lowercase Letter 13
 
0.1%
Dash Punctuation 7
 
0.1%
Decimal Number 5
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1750
15.4%
린 1612
 
14.2%
어 1596
 
14.0%
집 1587
 
14.0%
아 223
 
2.0%
리 125
 
1.1%
사 107
 
0.9%
나 97
 
0.9%
동 86
 
0.8%
하 82
 
0.7%
Other values (421) 4107
36.1%
Uppercase Letter
ValueCountFrequency (%)
G 3
18.8%
B 3
18.8%
A 2
12.5%
I 2
12.5%
D 1
 
6.2%
H 1
 
6.2%
S 1
 
6.2%
W 1
 
6.2%
C 1
 
6.2%
E 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
i 4
30.8%
e 2
15.4%
s 1
 
7.7%
c 1
 
7.7%
t 1
 
7.7%
k 1
 
7.7%
n 1
 
7.7%
a 1
 
7.7%
r 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
4 1
 
20.0%
3 1
 
20.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11372
99.2%
Common 67
 
0.6%
Latin 29
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1750
15.4%
린 1612
 
14.2%
어 1596
 
14.0%
집 1587
 
14.0%
아 223
 
2.0%
리 125
 
1.1%
사 107
 
0.9%
나 97
 
0.9%
동 86
 
0.8%
하 82
 
0.7%
Other values (421) 4107
36.1%
Latin
ValueCountFrequency (%)
i 4
13.8%
G 3
 
10.3%
B 3
 
10.3%
A 2
 
6.9%
I 2
 
6.9%
e 2
 
6.9%
D 1
 
3.4%
H 1
 
3.4%
S 1
 
3.4%
W 1
 
3.4%
Other values (9) 9
31.0%
Common
ValueCountFrequency (%)
52
77.6%
- 7
 
10.4%
2 3
 
4.5%
4 1
 
1.5%
3 1
 
1.5%
) 1
 
1.5%
( 1
 
1.5%
. 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11372
99.2%
ASCII 96
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1750
15.4%
린 1612
 
14.2%
어 1596
 
14.0%
집 1587
 
14.0%
아 223
 
2.0%
리 125
 
1.1%
사 107
 
0.9%
나 97
 
0.9%
동 86
 
0.8%
하 82
 
0.7%
Other values (421) 4107
36.1%
ASCII
ValueCountFrequency (%)
52
54.2%
- 7
 
7.3%
i 4
 
4.2%
2 3
 
3.1%
G 3
 
3.1%
B 3
 
3.1%
A 2
 
2.1%
I 2
 
2.1%
e 2
 
2.1%
D 1
 
1.0%
Other values (17) 17
 
17.7%

주 소
Text

Distinct1584
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-11T03:58:43.902906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length31.003774
Min length15

Characters and Unicode

Total characters49296
Distinct characters335
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1579 ?
Unique (%)99.3%

Sample

1st row대구광역시 중구 명륜로26안길 12 (남산1동)
2nd row대구광역시 중구 중앙대로62길 15 (남산1동)
3rd row대구광역시 중구 관덕정길 16 (남산2동)
4th row대구광역시 중구 달구벌대로 2016-40 (남산2동)
5th row대구광역시 중구 남산로4길 111 (남산3동)
ValueCountFrequency (%)
대구광역시 1591
 
17.4%
달서구 427
 
4.7%
북구 363
 
4.0%
수성구 217
 
2.4%
동구 197
 
2.1%
서구 143
 
1.6%
달성군 141
 
1.5%
남구 66
 
0.7%
101동 60
 
0.7%
다사읍 55
 
0.6%
Other values (2514) 5906
64.4%
2023-12-11T03:58:44.774735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7598
 
15.4%
구 3249
 
6.6%
1 2449
 
5.0%
동 2308
 
4.7%
대 1928
 
3.9%
시 1672
 
3.4%
역 1628
 
3.3%
광 1598
 
3.2%
로 1530
 
3.1%
0 1462
 
3.0%
Other values (325) 23874
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29151
59.1%
Decimal Number 9127
 
18.5%
Space Separator 7598
 
15.4%
Close Punctuation 1240
 
2.5%
Open Punctuation 1240
 
2.5%
Other Punctuation 582
 
1.2%
Dash Punctuation 328
 
0.7%
Uppercase Letter 22
 
< 0.1%
Lowercase Letter 7
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3249
 
11.1%
동 2308
 
7.9%
대 1928
 
6.6%
시 1672
 
5.7%
역 1628
 
5.6%
광 1598
 
5.5%
로 1530
 
5.2%
길 929
 
3.2%
서 846
 
2.9%
성 723
 
2.5%
Other values (301) 12740
43.7%
Decimal Number
ValueCountFrequency (%)
1 2449
26.8%
0 1462
16.0%
2 1242
13.6%
3 851
 
9.3%
5 735
 
8.1%
4 645
 
7.1%
6 533
 
5.8%
7 500
 
5.5%
9 391
 
4.3%
8 319
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
E 15
68.2%
U 3
 
13.6%
D 2
 
9.1%
S 2
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 562
96.6%
/ 16
 
2.7%
. 4
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
85.7%
b 1
 
14.3%
Space Separator
ValueCountFrequency (%)
7598
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29151
59.1%
Common 20116
40.8%
Latin 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3249
 
11.1%
동 2308
 
7.9%
대 1928
 
6.6%
시 1672
 
5.7%
역 1628
 
5.6%
광 1598
 
5.5%
로 1530
 
5.2%
길 929
 
3.2%
서 846
 
2.9%
성 723
 
2.5%
Other values (301) 12740
43.7%
Common
ValueCountFrequency (%)
7598
37.8%
1 2449
 
12.2%
0 1462
 
7.3%
2 1242
 
6.2%
) 1240
 
6.2%
( 1240
 
6.2%
3 851
 
4.2%
5 735
 
3.7%
4 645
 
3.2%
, 562
 
2.8%
Other values (8) 2092
 
10.4%
Latin
ValueCountFrequency (%)
E 15
51.7%
e 6
 
20.7%
U 3
 
10.3%
D 2
 
6.9%
S 2
 
6.9%
b 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29151
59.1%
ASCII 20145
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7598
37.7%
1 2449
 
12.2%
0 1462
 
7.3%
2 1242
 
6.2%
) 1240
 
6.2%
( 1240
 
6.2%
3 851
 
4.2%
5 735
 
3.6%
4 645
 
3.2%
, 562
 
2.8%
Other values (14) 2121
 
10.5%
Hangul
ValueCountFrequency (%)
구 3249
 
11.1%
동 2308
 
7.9%
대 1928
 
6.6%
시 1672
 
5.7%
역 1628
 
5.6%
광 1598
 
5.5%
로 1530
 
5.2%
길 929
 
3.2%
서 846
 
2.9%
성 723
 
2.5%
Other values (301) 12740
43.7%

전화번호
Text

Distinct1587
Distinct (%)99.9%
Missing1
Missing (%)0.1%
Memory size12.6 KiB
2023-12-11T03:58:45.151625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters19068
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1585 ?
Unique (%)99.7%

Sample

1st row053-428-2599
2nd row053-215-9000
3rd row053-253-0130
4th row053-255-7851
5th row053-256-6862
ValueCountFrequency (%)
053-564-2997 2
 
0.1%
053-425-3190 2
 
0.1%
053-632-7942 1
 
0.1%
053-428-2599 1
 
0.1%
053-638-3321 1
 
0.1%
053-639-3823 1
 
0.1%
053-631-0151 1
 
0.1%
053-262-2221 1
 
0.1%
053-636-6636 1
 
0.1%
053-631-1033 1
 
0.1%
Other values (1577) 1577
99.2%
2023-12-11T03:58:45.678000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3173
16.6%
5 3096
16.2%
3 2867
15.0%
0 2453
12.9%
6 1320
6.9%
2 1229
 
6.4%
7 1122
 
5.9%
1 1102
 
5.8%
9 941
 
4.9%
4 889
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15895
83.4%
Dash Punctuation 3173
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3096
19.5%
3 2867
18.0%
0 2453
15.4%
6 1320
8.3%
2 1229
 
7.7%
7 1122
 
7.1%
1 1102
 
6.9%
9 941
 
5.9%
4 889
 
5.6%
8 876
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 3173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19068
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3173
16.6%
5 3096
16.2%
3 2867
15.0%
0 2453
12.9%
6 1320
6.9%
2 1229
 
6.4%
7 1122
 
5.9%
1 1102
 
5.8%
9 941
 
4.9%
4 889
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19068
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3173
16.6%
5 3096
16.2%
3 2867
15.0%
0 2453
12.9%
6 1320
6.9%
2 1229
 
6.4%
7 1122
 
5.9%
1 1102
 
5.8%
9 941
 
4.9%
4 889
 
4.7%

Correlations

2023-12-11T03:58:45.817595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구어린이집유형
시군구1.0000.198
어린이집유형0.1981.000
2023-12-11T03:58:45.939542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구어린이집유형
시군구1.0000.107
어린이집유형0.1071.000
2023-12-11T03:58:46.060828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구어린이집유형
시군구1.0000.107
어린이집유형0.1071.000

Missing values

2023-12-11T03:58:41.217106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:58:41.402619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시도시군구어린이집유형어린이집명주 소전화번호
0대구광역시중구민간비둘기어린이집대구광역시 중구 명륜로26안길 12 (남산1동)053-428-2599
1대구광역시중구직장대구프뢰벨어린이집대구광역시 중구 중앙대로62길 15 (남산1동)053-215-9000
2대구광역시중구법인 단체등남산교회어린이집대구광역시 중구 관덕정길 16 (남산2동)053-253-0130
3대구광역시중구민간대구삼성어린이집대구광역시 중구 달구벌대로 2016-40 (남산2동)053-255-7851
4대구광역시중구사회복지법인백합어린이집대구광역시 중구 남산로4길 111 (남산3동)053-256-6862
5대구광역시중구국공립꿈나무어린이집대구광역시 중구 남산로7길 35 (남산4동)053-252-0655
6대구광역시중구국공립동그라미어린이집대구광역시 중구 달구벌대로 1960 남산휴먼시아1단지 103동 101호(남산4동)053-959-7942
7대구광역시중구민간가온어린이집대구광역시 중구 달구벌대로 1970 남산휴먼시아2단지 206동(남산4동)053-422-0707
8대구광역시중구민간나현어린이집대구광역시 중구 남산로13길 28 (남산4동)053-425-8863
9대구광역시중구민간누리마루어린이집대구광역시 중구 남산로1길 46-5 (남산4동)053-421-3379
시도시군구어린이집유형어린이집명주 소전화번호
1580대구광역시달성군가정삼주어린이집대구광역시 달성군 화원읍 사문진로 349 화원삼주타운 101동109호053-637-6165
1581대구광역시달성군가정신동아어린이집대구광역시 달성군 화원읍 비슬로539길 38 신동아파밀리에 102동101호053-632-1388
1582대구광역시달성군가정아이랜드어린이집대구광역시 달성군 화원읍 화원로2길 11053-634-0770
1583대구광역시달성군가정아이세상어린이집대구광역시 달성군 명천로17길 7-32 1층053-634-2519
1584대구광역시달성군가정임마누엘어린이집대구광역시 달성군 화원읍 명천로 57053-642-5919
1585대구광역시달성군가정키즈어린이집대구광역시 달성군 화원읍 명곡로 11053-643-0304
1586대구광역시달성군가정태왕리더스 어린이집대구광역시 달성군 화원읍 화원로3길 66 101동 102호(천내리, 화원태왕리더스)053-634-6546
1587대구광역시달성군가정평광어린이집대구광역시 달성군 화원읍 비슬로525길 37 207동 105호(천내리, 화원평광2차아파트)053-635-3566
1588대구광역시달성군가정하늘정원어린이집대구광역시 달성군 화원읍 사문진로6길 17 한샘아파트 101동101호053-268-0228
1589대구광역시달성군가정호수어린이집대구광역시 달성군 화원읍 성화로4길 13 태왕아파트 108-109호053-636-9096